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Published in: Wireless Personal Communications 3/2018

08-05-2018

Event Detection and Information Passing Using LEACH Protocol in Wireless Sensor Networks

Authors: Ranjeeth Kumar Sundararajan, Umamakeswari Arumugam

Published in: Wireless Personal Communications | Issue 3/2018

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Abstract

Wireless Sensor Networks plays an important role in creating and developing smart environments. It includes sensors geographically distributed which are interconnected and hence forming a wireless network. Under any hazardous and danger prone situations, these sensors can detect the event occurred and inform the nearest service zones (base station). In construction sites for fence monitoring, when an event occurs around the fence, the nearby sensor nodes detect the event and pass this information to the neighbouring nodes until it reaches the nearest base station (service zones) using Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The events are classified using classification algorithm implemented at each sensor node. Since power consumption is an important criterion, the communication among the nodes should be energy efficient and the proposed system achieves around 13% less energy consumption. To simulate this environment, NETSIM simulation tool is used and the occurred events are classified into critical or non-critical events.

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Literature
1.
go back to reference Kaur, P., & Bhardwaj, V. (2015). Wireless sensor networks: A survey. International Journal of Advanced Research in Computer Science and Software Engineering, 5(5), 710–716. Kaur, P., & Bhardwaj, V. (2015). Wireless sensor networks: A survey. International Journal of Advanced Research in Computer Science and Software Engineering, 5(5), 710–716.
2.
go back to reference Ambekar, D. V., Bhoi, A. D., & Kharadkar, R. D. (2014). A survey on sensors lifetime enhancement techniques in wireless sensor networks. International Journal of Computer Applications, 107(19), 22–25.CrossRef Ambekar, D. V., Bhoi, A. D., & Kharadkar, R. D. (2014). A survey on sensors lifetime enhancement techniques in wireless sensor networks. International Journal of Computer Applications, 107(19), 22–25.CrossRef
3.
go back to reference Anastasi, G., et al. (2009). Energy conservationin wireless sensor networks: A survey. Ad Hoc Networks, 7(3), 537–568.CrossRef Anastasi, G., et al. (2009). Energy conservationin wireless sensor networks: A survey. Ad Hoc Networks, 7(3), 537–568.CrossRef
4.
go back to reference Damaso, A., Rosa, N., & Maciel, P. (2017). Integrated evaluation of reliability and power consumption of wireless sensor networks. Sensors, 17(11), 1–27.CrossRef Damaso, A., Rosa, N., & Maciel, P. (2017). Integrated evaluation of reliability and power consumption of wireless sensor networks. Sensors, 17(11), 1–27.CrossRef
5.
go back to reference Oudani, Hassan, et al. (2017). Energy efficient in wireless sensor networks using cluster-based approach routing. International Journal of Sensors and Sensor Networks, 5, 6–12. Oudani, Hassan, et al. (2017). Energy efficient in wireless sensor networks using cluster-based approach routing. International Journal of Sensors and Sensor Networks, 5, 6–12.
6.
go back to reference Elshrkawey, M., et al. (2017). An enhancement approach for reducing the energy consumption in wireless sensor networks. Journal of King Saud University—Computer and Information Sciences, 30(2), 259–267.CrossRef Elshrkawey, M., et al. (2017). An enhancement approach for reducing the energy consumption in wireless sensor networks. Journal of King Saud UniversityComputer and Information Sciences, 30(2), 259–267.CrossRef
7.
go back to reference Anisi, M. H., et al. (2017). Energy harvesting and battery power based routing in wireless sensor networks. Wireless Networks, 23, 249–266.CrossRef Anisi, M. H., et al. (2017). Energy harvesting and battery power based routing in wireless sensor networks. Wireless Networks, 23, 249–266.CrossRef
8.
go back to reference Chen, Z., et al. (2017). Energy-efficient broadcasting scheme for smart industrial wireless sensor networks. Mobile Information Systems, 2017, 1–17. Chen, Z., et al. (2017). Energy-efficient broadcasting scheme for smart industrial wireless sensor networks. Mobile Information Systems, 2017, 1–17.
9.
go back to reference Patil, S. A., & Mishra, P. (2017). Improved mobicast routing protocol to minimize energy consumption for underwater sensor networks. International Journal of Research in Science & Engineering, 3, 197–204. Patil, S. A., & Mishra, P. (2017). Improved mobicast routing protocol to minimize energy consumption for underwater sensor networks. International Journal of Research in Science & Engineering, 3, 197–204.
10.
go back to reference Rouissi, N., & Gharsellaoui, H. (2017). Improved hybrid LEACH based approach for preserving secured integrity in wireless sensor networks. Procedia Computer Science, 112, 1429–1438.CrossRef Rouissi, N., & Gharsellaoui, H. (2017). Improved hybrid LEACH based approach for preserving secured integrity in wireless sensor networks. Procedia Computer Science, 112, 1429–1438.CrossRef
11.
go back to reference Rubino, G., & Tuffin, B. (2009). Rare event simulation using Monte Carlo methods. Hoboken: Wiley.CrossRefMATH Rubino, G., & Tuffin, B. (2009). Rare event simulation using Monte Carlo methods. Hoboken: Wiley.CrossRefMATH
12.
go back to reference Zhu, Y., et al. (2012). Optimizing event detection in low duty-cycled sensor networks. Wireless Networks, 18(3), 235–241.CrossRef Zhu, Y., et al. (2012). Optimizing event detection in low duty-cycled sensor networks. Wireless Networks, 18(3), 235–241.CrossRef
13.
go back to reference Das, S. N., & Misra, S. (2015). Event-driven probabilistic topology management in sparse wireless sensor network. Wireless Sensor Systems, 5(4), 210–217.CrossRef Das, S. N., & Misra, S. (2015). Event-driven probabilistic topology management in sparse wireless sensor network. Wireless Sensor Systems, 5(4), 210–217.CrossRef
14.
go back to reference Gu, L., et al. (2005). Lightweight detection and classification for wireless sensor networks in realistic environments. In Proceedings of the 3rd International Conference on Embedded networked sensor systems (pp. 205–217). Gu, L., et al. (2005). Lightweight detection and classification for wireless sensor networks in realistic environments. In Proceedings of the 3rd International Conference on Embedded networked sensor systems (pp. 205–217).
15.
go back to reference Liu, C., et al. (2006). Random coverage with guaranteed connectivity: Joint scheduling for wireless sensor networks. Transactions on Parallel and Distributed Systems, 17(6), 562–575.CrossRef Liu, C., et al. (2006). Random coverage with guaranteed connectivity: Joint scheduling for wireless sensor networks. Transactions on Parallel and Distributed Systems, 17(6), 562–575.CrossRef
16.
go back to reference Cheng, M.-Y., et al. (2013) Event-driven energy-harvesting wireless sensor network for structural health monitoring. In Proceedings of the 38th Annual IEEE Conference on Local Computer Networks. Cheng, M.-Y., et al. (2013) Event-driven energy-harvesting wireless sensor network for structural health monitoring. In Proceedings of the 38th Annual IEEE Conference on Local Computer Networks.
17.
go back to reference Kansal, A., et al. (2007). Power management in energy harvesting sensor networks. ACM Transactions on Embedded Computing Systems 6, 32–38.CrossRef Kansal, A., et al. (2007). Power management in energy harvesting sensor networks. ACM Transactions on Embedded Computing Systems 6, 32–38.CrossRef
18.
go back to reference Dziengel, N., Seiffert, M., Ziegert, M., et al. (2015). Deployment and evaluation of a fully applicable distributed event detection system in Wireless Sensor Networks. Ad Hoc Networks, 37, 160–182.CrossRef Dziengel, N., Seiffert, M., Ziegert, M., et al. (2015). Deployment and evaluation of a fully applicable distributed event detection system in Wireless Sensor Networks. Ad Hoc Networks, 37, 160–182.CrossRef
19.
go back to reference Waelchli, P. et.al. (2007). Distributed event localization and tracking with wireless sensors. In Proceedings of the 5th International Conference on Wired/WirelessInternet Communications (WWIC’07), Coimbra, Portugal (247–258). Waelchli, P. et.al. (2007). Distributed event localization and tracking with wireless sensors. In Proceedings of the 5th International Conference on Wired/WirelessInternet Communications (WWIC’07), Coimbra, Portugal (247–258).
20.
go back to reference Ko, Ja Won, & Choi, Yoon-Hwa. (2011). A grid-based distributed event detection schemefor wireless sensor networks. PubMed Central, 11(11), 10048–10062. Ko, Ja Won, & Choi, Yoon-Hwa. (2011). A grid-based distributed event detection schemefor wireless sensor networks. PubMed Central, 11(11), 10048–10062.
21.
go back to reference Shang, Fengjun. (2011). An energy-efficient communication protocol for wireless sensor networks. Journal of Networks, 6(7), 999–1008.CrossRef Shang, Fengjun. (2011). An energy-efficient communication protocol for wireless sensor networks. Journal of Networks, 6(7), 999–1008.CrossRef
22.
go back to reference Mahimkar, A., & Rappaport, T. S. (2014). A secure data aggregation and verification protocol for sensor networks. International Journal of Advanced Research in Computer Science and Software Engineering, 4(5), 2175–2179. Mahimkar, A., & Rappaport, T. S. (2014). A secure data aggregation and verification protocol for sensor networks. International Journal of Advanced Research in Computer Science and Software Engineering, 4(5), 2175–2179.
23.
go back to reference Heinzelman, W. R. et al. (2000). Energy-efficient communication protocol for wireless microsensor networks.In Proceedings in the Hawaii international conference on system sciences (pp. 1–10). Heinzelman, W. R. et al. (2000). Energy-efficient communication protocol for wireless microsensor networks.In Proceedings in the Hawaii international conference on system sciences (pp. 1–10).
Metadata
Title
Event Detection and Information Passing Using LEACH Protocol in Wireless Sensor Networks
Authors
Ranjeeth Kumar Sundararajan
Umamakeswari Arumugam
Publication date
08-05-2018
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-5785-3

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